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大时间序列分类烘焙：对最近提出的算法的实验评估The Great Time Series Classification Bake Off: An Experimental Evaluation of Recently Proposed Algorithms |
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| 课程网址: | https://videolectures.net/videos/kdd2016_lines_proposed_algorithm... |
| 主讲教师: | Jason Lines |
| 开课单位: | KDD 2016研讨会 |
| 开课时间: | 2025-02-04 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In the last five years there have been a large number of new time series classification algorithms proposed in the literature. These algorithms have been evaluated on subsets of the 47 data sets in the University of California, Riverside time series classification archive. The archive has recently been expanded to 85 data sets, over half of which have been donated by researchers at the University of East Anglia. Aspects of previous evaluations have made comparisons between algorithms difficult. For example, several different programming languages have been used, experiments involved a single train/test split and some used normalised data whilst others did not. The relaunch of the archive provides a timely opportunity to thoroughly evaluate algorithms on a larger number of datasets. We have implemented 20 recently proposed algorithms in a common Java framework and compared them against two standard benchmark classifiers (and each other) by performing 100 resampling experiments on each of the 85 datasets. We use these results to test several hypotheses relating to whether the algorithms are significantly more accurate than the benchmarks and each other. Our results indicate that only 9 of these algorithms are significantly more accurate than both benchmarks and that one classifier, the Collective of Transformation Ensembles, is significantly more accurate than all of the others. All of our experiments and results are reproducible: we release all of our code, results and experimental details and we hope these experiments form the basis for more rigorous testing of new algorithms in the future. |
| 关 键 词: | 大时间序列; 实验评估; 分类算法 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2025-03-31：liyq |
| 最后编审: | 2025-03-31：liyq |
| 阅读次数: | 3 |